Hiring: Lead Software Engineer AI (Staff Engineer) Company: Thomson Reuters Location: Eagan, MN Job Posted Time: 2026-09-09 17:58:15 Employment Type: Full-time Target Skills & Keywords: AI Orchestration, LLM Integration, MCP Servers, Agent Frameworks, C#/.NET, Python, FastAPI, PostgreSQL, AWS, Vercel, Vector Databases, Distributed Systems, Retrieval & Search, React/Angular, TypeScript, CI/CD, GitHub Actions, OpenAI, Anthropic Experience: • 7+ years of software engineering experience • 2+ years in technical leadership roles • 3+ years building scalable cloud applications, APIs, and AI-enabled products • Proven track record of shipping production-grade AI systems to customers, including deployment, monitoring, evaluation, scaling, and ongoing operational ownership in enterprise environments • Proven success leading complex projects from architecture through long-term operation Required Skills: • Architect and build backend services using C#/.NET, Python, FastAPI, PostgreSQL, AWS, and Vercel • Develop AI orchestration capabilities including MCP servers, tool calling, workflow routing, guardrails, reliability, and LLM integrations • Design high-throughput, low-latency AI systems using caching, queuing, rate limiting, failover, and cost optimization strategies • Build retrieval and search systems leveraging large document collections, vector databases, and indexing technologies • Establish observability, SLOs, and incident management practices for auditable and trustworthy AI systems • Full Stack experience with Python, JavaScript, TypeScript, and modern frameworks such as React or Angular • Strong distributed systems expertise, including APIs, data modeling, observability, resiliency, and performance optimization • Define AI engineering patterns for MCP servers, agent frameworks, LLM integration, experimentation, and scalable infrastructure • Lead across engineering, product, UX, and AI teams to rapidly design and deliver customer-facing solutions • Set technical direction, mentor senior engineers, and stay hands-on in architecture and code • Drive platform integration strategy across audit systems Qualifications: • Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience • Deep interest in AI-native software, including LLMs, agents, retrieval, and modern AI development patterns • Preferred: CI/CD experience, including GitHub Actions • Preferred: Hands-on experience integrating LLM platforms such as OpenAI and Anthropic into production applications • Preferred: Experience with vector databases Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!